An automated methodology for converting OSM data into a Land Use/Cover map
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/48070 |
Resumo: | Land Use/Land Cover Maps (LULCM), fundamental for many areas of application, are usually generated through the classification of satellite imagery. However, their creation is time consuming and therefore updated LULCM are seldom available. The OpenStreetMap (OSM) collaborative project collects a rich set of vector data provided by volunteers at a global scale. It has already been shown that OSM data may be converted into LULCM, but data quality issues in OSM raise some challenges for this conversion, such as overlapping features that should be assigned to different classes. Thus, the creation of LULCM using OSM requires a solution for handling these inconsistencies. In this article an automated methodology is proposed using rules of decision and spatial analysis in a GIS environment to convert OSM features into LULCM, which automatically solves the inconsistencies mentioned above. The methodology is applied to two areas in Europe and the results are compared to available LULCM. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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An automated methodology for converting OSM data into a Land Use/Cover mapOpenStreetMapLand Use/Cover MapsConversionInconsistenciesLand Use/Land Cover Maps (LULCM), fundamental for many areas of application, are usually generated through the classification of satellite imagery. However, their creation is time consuming and therefore updated LULCM are seldom available. The OpenStreetMap (OSM) collaborative project collects a rich set of vector data provided by volunteers at a global scale. It has already been shown that OSM data may be converted into LULCM, but data quality issues in OSM raise some challenges for this conversion, such as overlapping features that should be assigned to different classes. Thus, the creation of LULCM using OSM requires a solution for handling these inconsistencies. In this article an automated methodology is proposed using rules of decision and spatial analysis in a GIS environment to convert OSM features into LULCM, which automatically solves the inconsistencies mentioned above. The methodology is applied to two areas in Europe and the results are compared to available LULCM.2016-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/48070http://hdl.handle.net/10316/48070eng1314-0604Fonte, Cidália CostaMinghini, MarcoAntoniou, VyronSee, LindaPatriarca, JoaquimBrovelli, Maria AMilcinski, Gregainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-05-25T12:20:16Zoai:estudogeral.uc.pt:10316/48070Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:53:45.630533Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
An automated methodology for converting OSM data into a Land Use/Cover map |
title |
An automated methodology for converting OSM data into a Land Use/Cover map |
spellingShingle |
An automated methodology for converting OSM data into a Land Use/Cover map Fonte, Cidália Costa OpenStreetMap Land Use/Cover Maps Conversion Inconsistencies |
title_short |
An automated methodology for converting OSM data into a Land Use/Cover map |
title_full |
An automated methodology for converting OSM data into a Land Use/Cover map |
title_fullStr |
An automated methodology for converting OSM data into a Land Use/Cover map |
title_full_unstemmed |
An automated methodology for converting OSM data into a Land Use/Cover map |
title_sort |
An automated methodology for converting OSM data into a Land Use/Cover map |
author |
Fonte, Cidália Costa |
author_facet |
Fonte, Cidália Costa Minghini, Marco Antoniou, Vyron See, Linda Patriarca, Joaquim Brovelli, Maria A Milcinski, Grega |
author_role |
author |
author2 |
Minghini, Marco Antoniou, Vyron See, Linda Patriarca, Joaquim Brovelli, Maria A Milcinski, Grega |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Fonte, Cidália Costa Minghini, Marco Antoniou, Vyron See, Linda Patriarca, Joaquim Brovelli, Maria A Milcinski, Grega |
dc.subject.por.fl_str_mv |
OpenStreetMap Land Use/Cover Maps Conversion Inconsistencies |
topic |
OpenStreetMap Land Use/Cover Maps Conversion Inconsistencies |
description |
Land Use/Land Cover Maps (LULCM), fundamental for many areas of application, are usually generated through the classification of satellite imagery. However, their creation is time consuming and therefore updated LULCM are seldom available. The OpenStreetMap (OSM) collaborative project collects a rich set of vector data provided by volunteers at a global scale. It has already been shown that OSM data may be converted into LULCM, but data quality issues in OSM raise some challenges for this conversion, such as overlapping features that should be assigned to different classes. Thus, the creation of LULCM using OSM requires a solution for handling these inconsistencies. In this article an automated methodology is proposed using rules of decision and spatial analysis in a GIS environment to convert OSM features into LULCM, which automatically solves the inconsistencies mentioned above. The methodology is applied to two areas in Europe and the results are compared to available LULCM. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-06 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/48070 http://hdl.handle.net/10316/48070 |
url |
http://hdl.handle.net/10316/48070 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1314-0604 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133823785500672 |